Computer science research at Minnesota

Seven papers from Computer Science & Engineering faculty, students, and alumni were accepted to the top tier research conference in Big Data.

The research on computational advertising by CS&E Professor Joseph Konstan was honored by the American Academy of Advertising Journals.

The Conference on Neural Information Processing Systems (NeurIPS) highlights research advances in artificial intelligence and machine learning.

Congrats to CS&E Ph.D. students Irene Ye Yuan and Georgie Qiao Jin for receiving the “Best Toio Award” for their remote communication concept called MoMoBot.

The paper by co-lead authors C. Estelle Smith (Ph.D. 2020) and William Lane (M.S. 2020) earned an Honorable Mention award at CSCW 2021.

Their 1998 paper introduced algorithms that have been incorporated into METIS and ParMETIS, and enable the efficient parallel execution of complex computations.

The research by Professor Zhi-Li Zhang and his students was shared during the ACM SIGCOMM Symposium on Software Defined Networking Research (SOSR).

He will lead the effort to enhance the quality, impact, and visibility of data science research and build collaborations with other U of M and outside partners.

The ArTeS Collaborative Research Studio will bring art, technology, and science together when it opens in spring 2022.

The new NSF-funded Learning the Earth with Artificial Intelligence and Physics (LEAP) center will leverage big data and machine learning to improve climate projections.

Prototype system uses voice-based conversation and physiological data to monitor the stress level of a user, and if needed, offers a calming hug.

The study, on which CS&E assistant professor Hyun Soo Park is a collaborator, holds new insights for neuroscience and behavioral science.

Professors Vipin Kumar, George Karypis, and Joe Konstan were among the leading 1,000 computing researchers worldwide in the latest Guide2Research rankings.

The work by Ph.D. student Yasamin Jafarian and assistant professor Hyun Soo Park used TikTok dance videos to learn high fidelity depths of dressed humans.

A new collaboration between UMN and Cisco Systems seeks to advance cutting-edge technologies that transform the way people access, manage, and protect data.

CS&E professor Shashi Shekhar and Ph.D. student Yan Li were on the research team that received the 2021 Robert C. Johns Research Partnership Award.

Research from CS&E's Chad Myers and collaborators from the Donnelly Centre is featured in the May issue of Science Magazine.

Two papers from assistant professor Mattia Fazzini and his students will be presented at the premier software engineering conference.

The project is a collaboration between the West Central Research and Outreach Center (WCROC), The Toro Company, and CS&E's Robotic Sensor Networks Lab.

Professor Pen-Chung Yew had two papers accepted for this year's International Symposium on Code Generation and Optimization.

A team of CS&E students is working with assistant professor Evan Suma Rosenberg on more immersive options to video conferencing.

This recognition from the Association for Computing Machinery celebrates his long-term commitment and outstanding scientific contributions to computing.

From exploring shipwrecks to air-dropping supplies in a pandemic, CS&E faculty and students are designing robots for the 21st century.

CS&E associate professor Paul Schrater is part of the team who, for the first time, developed a method to measure thoughts.

CS&E assistant professor Ju Sun is part of the team aiming to add tracking systems on electric scooters to improve safety of riders on the road.

CS&E's Ju Sun and colleagues from the Medical School have utilized machine learning to diagnose COVID-19 via X-ray imaging.